Energy-efficient cooperative transmission for intelligent transportation systems

被引:14
作者
Peng, Yuyang [1 ]
Li, Jun [2 ]
Park, Sangdon [3 ]
Zhu, Konglin [4 ]
Hassan, Mohammad Mehedi [5 ,6 ]
Alsanad, Ahmed [6 ]
机构
[1] Macau Univ Sci & Technol, Fac Informat Technol, Taipa, Macao, Peoples R China
[2] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou, Guangdong, Peoples R China
[3] Korea Adv Inst Sci & Technol, Informat & Elect Res Inst, Daejeon, South Korea
[4] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing, Peoples R China
[5] King Saud Univ, Coll Comp & Informat Sci, Chair Pervas & Mobile Comp, Riyadh 11543, Saudi Arabia
[6] King Saud Univ, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11543, Saudi Arabia
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2019年 / 94卷
关键词
CMIMO-SM; ITS; Energy efficiency; Optimal; MIMO; COMMUNICATION; NETWORKS; SAFETY;
D O I
10.1016/j.future.2018.11.053
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Recent advances in cooperative multiple-input-multiple-output (CMIMO) techniques have encouraged interest in the development of intelligent transportation systems (ITS). They have the potential for use in the infrastructure to vehicle (I2V) and infrastructure to infrastructure (I2I) communications in ITS networks where the energy consumption of wireless sensor nodes embedded on the road infrastructure is constraint. Therefore, how to reduce the energy consumption becomes a hot research topic. In this paper, applications of cooperative communications in ITS networks are proposed for reducing the total energy consumption. At first, the ITS model is established based on the cooperative multiple-input-multiple output spatial modulation (CMIMO-SM). A detailed energy consumption analysis of the proposed scheme compared with the traditional single-input-single-output (SISO) based scheme is then presented. The comparison conducted between these communication schemes helps us select the optimal one for energy reduction in energy constrained ITS networks. Additionally, under the guidance of the proposed scheme we consider the multi-hop transmission scenario where the energy efficiency improvement is achieved by finding the optimal hop number with the equal hop-length scheme. As a result, we analyze the energy consumption in different situations, and discuss the requirements on the hop-length and hop number in ITS networks. It shows that the optimal results are dependent on the ITS scenarios and choosing the appropriate transmission scheme will provide a good energy consumption performance in ITS. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:634 / 640
页数:7
相关论文
共 29 条
  • [1] Using Technology to Make Roads Safer
    Al-Dweik, Arafat
    Mayhew, Matthew
    Muresan, Radu
    Ali, Shirook
    Shami, Abdallah
    [J]. IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2017, 12 (01): : 39 - 47
  • [2] Multihop V2I Communications: A Feasibility Study, Modeling, and Performance Analysis
    Atallah, Ribal
    Khabbaz, Maurice
    Assi, Chadi
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (03) : 2801 - 2810
  • [3] ENERGY HARVESTING IN VEHICULAR NETWORKS: A CONTEMPORARY SURVEY
    Atallah, Ribal
    Khabbaz, Maurice
    Assi, Chadi
    [J]. IEEE WIRELESS COMMUNICATIONS, 2016, 23 (02) : 70 - 77
  • [4] A Crowd-Cooperative Approach for Intelligent Transportation Systems
    Cerotti, Davide
    Distefano, Salvatore
    Merlino, Giovanni
    Puliafito, Antonio
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (06) : 1529 - 1539
  • [5] Multi-Modal Design of an Intelligent Transportation System
    Chaturvedi, Manish
    Srivastava, Sanjay
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (08) : 2017 - 2027
  • [6] Throughput of Infrastructure-Based Cooperative Vehicular Networks
    Chen, Jieqiong
    Mao, Guoqiang
    Li, Changle
    Zafar, Ammar
    Zomaya, Albert Y.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (11) : 2964 - 2979
  • [7] Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network
    Chen, Min
    Hao, Yixue
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2018, 36 (03) : 587 - 597
  • [8] Cognitive Internet of Vehicles
    Chen, Min
    Tian, Yuanwen
    Fortino, Giancarlo
    Zhang, Jing
    Humar, Iztok
    [J]. COMPUTER COMMUNICATIONS, 2018, 120 : 58 - 70
  • [9] Energy-constrained modulation optimization
    Cui, SG
    Goldsmith, AJ
    Bahai, A
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2005, 4 (05) : 2349 - 2360
  • [10] Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
    Cui, SG
    Goldsmith, AJ
    Bahai, A
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2004, 22 (06) : 1089 - 1098